[go: up one dir, main page]

AU2013346387A1 - Biometric methods and systems for enrollment and authentication - Google Patents

Biometric methods and systems for enrollment and authentication Download PDF

Info

Publication number
AU2013346387A1
AU2013346387A1 AU2013346387A AU2013346387A AU2013346387A1 AU 2013346387 A1 AU2013346387 A1 AU 2013346387A1 AU 2013346387 A AU2013346387 A AU 2013346387A AU 2013346387 A AU2013346387 A AU 2013346387A AU 2013346387 A1 AU2013346387 A1 AU 2013346387A1
Authority
AU
Australia
Prior art keywords
image
enrollment
person
candidate
body part
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
AU2013346387A
Inventor
Golan Weiss
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Publication of AU2013346387A1 publication Critical patent/AU2013346387A1/en
Abandoned legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31User authentication
    • G06F21/32User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/45Structures or tools for the administration of authentication
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10Character recognition
    • G06V30/14Image acquisition
    • G06V30/142Image acquisition using hand-held instruments; Constructional details of the instruments
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10Character recognition
    • G06V30/32Digital ink
    • G06V30/36Matching; Classification
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/107Static hand or arm
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/13Sensors therefor
    • G06V40/1312Sensors therefor direct reading, e.g. contactless acquisition
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/1347Preprocessing; Feature extraction
    • G06V40/1359Extracting features related to ridge properties; Determining the fingerprint type, e.g. whorl or loop
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/1365Matching; Classification
    • G06V40/1376Matching features related to ridge properties or fingerprint texture
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161Detection; Localisation; Normalisation
    • G06V40/166Detection; Localisation; Normalisation using acquisition arrangements
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168Feature extraction; Face representation
    • G06V40/171Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/18Eye characteristics, e.g. of the iris
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/18Eye characteristics, e.g. of the iris
    • G06V40/19Sensors therefor
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/50Maintenance of biometric data or enrolment thereof
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/60Static or dynamic means for assisting the user to position a body part for biometric acquisition
    • G06V40/67Static or dynamic means for assisting the user to position a body part for biometric acquisition by interactive indications to the user
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00Individual registration on entry or exit
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00Individual registration on entry or exit
    • G07C9/20Individual registration on entry or exit involving the use of a pass
    • G07C9/22Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder
    • G07C9/25Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder using biometric data, e.g. fingerprints, iris scans or voice recognition
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00Individual registration on entry or exit
    • G07C9/30Individual registration on entry or exit not involving the use of a pass
    • G07C9/32Individual registration on entry or exit not involving the use of a pass in combination with an identity check
    • G07C9/37Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C2209/00Indexing scheme relating to groups G07C9/00 - G07C9/38
    • G07C2209/02Access control comprising means for the enrolment of users

Landscapes

  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Multimedia (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Security & Cryptography (AREA)
  • General Health & Medical Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Computer Hardware Design (AREA)
  • Ophthalmology & Optometry (AREA)
  • Collating Specific Patterns (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Image Input (AREA)

Abstract

Biometric methods for enrollment and authentication of a person. During authentication, a previously stored enrollment image is presented on a display to the person. A candidate person is instructed to present a body part to a camera while the person is holding the body part unsupported in free space with respect to the camera. Using the camera, a candidate image of the body part is captured and presented with the previously stored enrollment image. The candidate person aligns the candidate image with the previously stored enrollment image. On alignment, the candidate image is verified as an authentic image of the person and the candidate person is authenticated as the person previously enrolled.

Description

WO 2014/076622 PCT/IB2013/060050 BIOMETRIC METHODS AND SYSTEMS FOR ENROLLMENT AND AUTHENTICATION BACKGROUND 1. Technical Field 5 The field of the present disclosure relates to biometric methods for enrollment and authentication of a person using a camera and a display. 2. Description of Related Art Many resources have been invested into developing reliable schemes for identity verification in order to prevent fraud in electronic commerce. Existing methods for 10 identity verification may rely on an item that the person possesses, such as a smart card or a datum that the person knows, such as a password, personal identification number (PIN) or other information. Considerable effort has been invested in identity verification using biometrics, based on physiological and/or behavioral characteristics. Characteristics used for biometric 15 authentication may include fingerprint, retina or iris scanning, voice, signature, and/or face. US patent 7,327,858 discloses biometric authentication using prominent lines of the hand when scanned by a scanning unit such as a scanner with a planar platen. 20 BRIEF SUMMARY Various computerized biometric methods for enrollment and authentication of a person are provided for herein. During authentication, a previously stored enrollment image is presented on a display to the person. A candidate person is instructed to present a body part to a camera while the person is holding the body part unsupported in free space with 25 respect to the camera. Using the camera, a candidate image of the body part is captured and presented with the previously stored enrollment image. The candidate person aligns the candidate image with the previously stored enrollment image. On alignment, the candidate image is verified as an authentic image of the person and the candidate person 1 WO 2014/076622 PCT/IB2013/060050 is authenticated as the person previously enrolled. The previously stored enrollment image may be generated independently from the person. The same enrollment image may be displayed for the enrollment of multiple previously unenrolled persons. During the enrollment, a person may hold a body part unsupported in free space with 5 respect to the camera. The camera may be used to capture the enrollment image of the body part and background thereof. The authentication may include capturing the time series of the candidate images of the candidate body part and background thereof. Alternatively, an enrollment image is captured from a medium such as a passport, drivers license, identity card or other document used for identification. 10 During the capture, the time series of candidate images is presented on a display superimposed on the enrollment image with the respective backgrounds thereof. The body part may a portion of a face, a hand, at least an ear, and/or an eye. The candidate person may align a feature of the body part in the candidate images with a corresponding feature in the enrollment image. The feature and the corresponding feature may be: a line, 15 a ridge, a beauty mark, a scar, a mole, an area of differing skin pigmentation, a birth mark and a wrinkle. Verification may be performed by comparing the enrollment image with the authentication image. The alignment may include alignment in horizontal, vertical image coordinates, angular orientation in image space, and real space distance to camera. 20 Prior to presentation of the previously stored enrollment image, the enrollment image may be processed by performing horizontal mirror inversion of the enrollment image. The candidate person may be instructed to align a feature of the body part in the candidate images with a corresponding feature in the enrollment image. Upon the candidate person aligning the feature of the body part in the candidate image with the corresponding feature 25 in the enrollment image, one or more of the candidate images is verified as an authentic image of the candidate person. One or more candidate images may be authenticated thereby as an authentic image of the candidate person. The candidate person is then authenticated as the person previously enrolled by comparing the feature in the candidate image with the corresponding feature in the enrollment image. 2 WO 2014/076622 PCT/IB2013/060050 A pre-enrollment image of a body part may be captured while the person is holding a body part of the person unsupported in free space with respect to the camera. The pre enrollment image may be presented to the person on a display. Upon presentation of the pre-enrollment image, the person may superimpose symbols with imaged features of the 5 body part as presented on the display. Upon superimposing the symbols with the imaged features of the body part, the enrollment image is stored with the symbols and respective positions and orientations of the symbols in image space in the pre-enrollment image. Prior to the superimposition, the symbols may be relocated, re-sized and/or rotated. The presentation on the display to the candidate person of the enrollment image may include 10 the stored symbols and at least a portion of an image of the body part. Alternatively, the presentation on the display to the candidate person of the enrollment image may include presentation of the stored symbols without any portion of an image of the body part. Multiple previously defined enrollment scales may be presented on a display to the person. The person may select one or more of the scales presented on the display to 15 produce thereby a selected enrollment scale. The person may superimpose and/or reposition one of the enrollment images with the selected scale. The selected scale may be stored as an enrollment image. The authentication includes presentation on a display of the time series of the candidate images superimposed on the selected enrollment scale The candidate person may align the candidate images with the selected enrollment scale. 20 During the authentication, the presentation of the enrollment scale to the person may include multiple enrollment scales and the candidate person may select person the selected enrollment scale. Various mobile computer systems are provided herein enabled to perform the computerized biometric methods as disclosed herein, wherein the camera and the display 25 are parts of the mobile computer system. Various computer readable media are provided for herein encoded with processing instructions for causing a processor to execute the methods disclosed herein. The foregoing and/or other aspects will become apparent from the following detailed description when considered in conjunction with the accompanying drawing figures. 3 WO 2014/076622 PCT/IB2013/060050 BRIEF DESCRIPTION OF THE DRAWINGS The invention is herein described, in a non-limiting manner, by way of example only, with reference to the accompanying drawings, wherein: Figure 1 illustrates a simplified block diagram of a mobile computer system, for operation of different features of the present invention. Figure 2 shows a flow diagram of a method, according to a feature of the present invention. Figure 3 shows an enrollment image presented on a display with a background also captured according features of the present invention. Figure 4 shows enrollment and authentication images superimposed with respective backgrounds, according to the method illustrated in Figure 2. Figure 5 which illustrates another method of biometric enrollment and authentication, according to a feature of the present invention. Figures 6 and 7 show examples of previously stored enrollment images respectively on a display, according to a feature of the present invention. Figure 8 shows a flow diagram of a method, including different features of the present invention. Figures 9 and 10 show a flow diagram of a method and an enrollment image respectively, according to different features of the present invention. The foregoing and/or other aspects will become apparent from the following detailed 5 description when considered in conjunction with the accompanying drawing figures. DETAILED DESCRIPTION Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals 10 refer to the like elements throughout. The embodiments are described below to explain the present invention by referring to the figures. The term "registration" as used herein refers to spatial alignment of image features of different images captured at different places and/or times of similar or identical objects in different image frames. 4 WO 2014/076622 PCT/IB2013/060050 The term "identification" as used herein refers to receiving initial information, name, identity card number or other information useful for uniquely identifying the user which a user presents prior or during enrollment. The term "enroll" or "enrollment" as used herein refers to an initiation of a user in the 5 biometric system during which biometric information is received and stored for later identity verification or authentication. The term "enrollment image" refers to image capture during enrollment The term "authentication" as used herein refers to a biometric verification that the user is who he/she is claimed himself/herself to be during identification. 10 The term "verification" as used hereinafter refers to authentication or denial of authentication based on biometric image features of the candidate person as one of the previously enrolled persons or the previously identified person. The term "superimpose" as used herein in the context of presenting two or more images simultaneously on a display includes either (i) combining two or more images using 15 image processing techniques and presenting the combined image and/or (ii) presenting to the user alternatively two or more images so that the appearance to the user is that of a combined superimposed image. The term "body part" as used herein for use in biometric enrollment and authentication may includes: a hand, an eye, an ear, a nose or a facial profile or portions thereof of the person. 20 The articles "a", "an" is used herein, such as "a candidate image", "an enrollment image", "a background" have the meaning of "one or more" that is "one or more candidate images", "one or more enrollment images" and "one or more backgrounds". By way of introduction, different embodiments of the present invention may find use in a number of different biometric methods to identify and enroll a user in the system and 25 subsequently authenticate a candidate person as one of the previously enrolled users. Embodiments of the present invention are intended to be used with a camera and a two dimensional or three dimensional display as may be available in a mobile computer system, e.g. smart-phone. In some embodiments of the present invention, the user during enrollment presents unsupported in free space a body part, e.g. hand, and an enrollment 5 WO 2014/076622 PCT/IB2013/060050 image is captured. Subsequently, the person when for instance he/she desires to perform an Internet transaction, for example, presents the same body part, e.g. hand, and an authentication image is captured also with the hand unsupported with free space between the camera and hand. The authentication image may be processed to be of the same hand 5 as used for the enrollment image and authentication is achieved, or otherwise authentication is denied. When an enrollment image is used again for authentication, the enrollment image when presented for authentication purposes may be distorted, warped, filtered, blurred, manipulated in gray scale or color, resolution reduced, partially displayed or otherwise image processed, to render it difficult for an imposter to reconstruct an authentication image from the enrollment image when presented during authentication. In various embodiments of the present invention to be presented in further detail, authentication may be in a different location and/ or time or date or using a different computer system from enrollment, and any body part may suitable for biometric 10 enrollment and authentication. The processing for authentication and verification of identity may be similar to the processing techniques disclosed in US 7,327,858 such as by comparing specific features between the enrollment and authentication images. The features used in US 7,327,858 are the prominent lines of the hand. However, according to prior art methods, before the 15 actual authentication processing may be performed, image registration is performed during which the respective images of the same features of interest are located in both the enrollment image and authentication image. Various embodiments of the present invention are intended to avoid or facilitate image registration between the common imaged features of interest in the enrollment image and 20 in the authentication. Avoiding or facilitating image registration to reduce the computational burden on the processor being used and/or decrease computational time required. Thus there is a need for and it would be advantageous to have methods and systems useful for avoiding and/or facilitating image registration between enrollment images and 6 WO 2014/076622 PCT/IB2013/060050 authentication images to enable biometric authentication of using image capture of unsupported body parts held in free space. Although in some embodiments of the present invention a mobile computer system is used for enrollment and authentication, in other embodiments a non-mobile computer 5 system and otherwise a dedicated computer system may also or alternatively be used. Before explaining embodiments of the invention in detail, it is to be understood that the invention is not limited in its application to the details of design and the arrangement of the components set forth in the following description or illustrated in the drawings. The invention is capable of other embodiments or of being practiced or carried out in various 10 ways. Also, it is to be understood that the phraseology and terminology employed herein is for the purpose of description and should not be regarded as limiting. Referring now to the drawings, Figure 1 illustrates a simplified block diagram of a mobile computer system 100 according to features of the present invention. Mobile computer system 100 is connectible over a network 106 to a server 108. Mobile computer system 15 100 is also connectible through a cellular base station transceiver 119 to cellular network 121. Mobile computer system 100 includes a processor 110C connected to local data storage 102. A data communications module 104C operatively connects processor 110C to data network 106. A cellular communications module operatively connects processor 110C to cellular network 121. Mobile computer system 100 may include operatively 20 connected to processor 110C peripheral accessory devices such as a display 109, global positioning system 107, a camera 105, a microphone 111, a speaker 113, a vibrator 115 and accelerometer /gravity sensor, BluetoothTM, IR sensor (not shown). Reference is now made to Fig 2 which shows a method 301 of biometric enrollment and authentication, according to a feature of the present invention. Method 301 includes steps 25 303, 305 for enrollment of a person and steps 307-317 for authentication/non authentication or verification of a person. In step 303, an image of a body part, e.g. hand of a person is captured, using camera 105 of mobile computer system 100 for instance, to capture an enrollment image of the body part. 7 WO 2014/076622 PCT/IB2013/060050 Reference is now also made to Figure 2a which shows a person holding her hand in free space with respect to the camera 105 and/or display 109 (of an IPADTM for example, being used as an example of a mobile computer system 100). Display 109 shows an enrollment image 20 of the palm, wrist plus arm of the person and the background which includes the 5 face and torso of the person. Camera 105 and/or display 109 may be mounted on a stand so that both hands of the person are free. Figure 2a is by way of example, another body part such as an ear or an eye may be captured to provide enrollment image 20. Alternatively, enrollment image 20 captured by camera 105 and/ or a scanner may be of a picture on; a passport, drivers license, identity card or other document used for 10 identification purposes. Reference is now made to Figure 3 which illustrates enrollment image 20 presented for example on display 109 of mobile computer system 100. A feature according to embodiments of the present invention includes avoiding processing to find the contour of enrollment image 20 of body part, e.g. hand; hence in Figure 3, the image of the hand is 15 presented with the background captured during enrollment. Background is shown schematically with an image 22 of a bush in Figure 109. Referring back to Figure 2, in step 305 an enrollment image 20 is associated with the person. The association of the enrollment image 20 with the person may include the name of the person, date of birth of the person, an identification (ID) number or national 20 insurance or social security number of the person. Step 307 begins an authentication/non-authentication process of the person previously enrolled. Authentication may be in a different location and/ or time or date or using a different computer system from enrollment steps 303-307. Reference is now also made to Figure 4 which illustrates display 109 during 25 authentication. In step 307, enrollment image 20 is presented on display 109 along with background image 22. Referring back to Figure 2, in step 309, a candidate person is instructed to present the body part, e.g. hand, to a camera 105 and a time series, e.g video, of candidate images 40 are captured of the hand of the candidate person. Candidate images 40 may include image 8 WO 2014/076622 PCT/IB2013/060050 of the candidate body part of the candidate person as well as respective background images 42. According to a feature of the present invention, as in enrollment image 20, candidate images 40 are presented with respective backgrounds while avoiding finding the contour of the image of the body part to extract and present an image of the body part 5 without background. In Figure 4, background of candidate image 40 of hand is shown schematically with the image 42 of a house. Still referring to Figure 2, in step 311, the time series of candidate images 40 are displayed on a display 109 while capturing (step 309) along with enrollment image 20 previously captured in step 303. Therefore in step 311, one or more candidate images 40 10 are superimposed on the enrollment image 20 with the respective backgrounds 42 and 22. In step 313, the candidate person aligns, i.e. positions and repositions the body part, e.g. hand, in front of camera 105 so that one or more candidate images 40 align with enrollment image 20 on display 109. To enable alignment in step 313, enrollment image 20 and or candidate images 40 after 15 being captured (step 303), may be processed such as with horizontal mirror inversion prior to display (step 311) on display 109. The basis for alignment in step 313 may be a feature of the body part in the candidate images 40 with a corresponding feature in the enrollment image 20. The feature and the corresponding feature may be a ridge, a line, a scar, an area of differing skin 20 pigmentation, a birth mark or a wrinkle on the body part or candidate body part respectively. Alignment step 313 includes alignment in horizontal, vertical image coordinates, angular orientation in image space, and real space distance to camera 105. In decision block 315 when one or more candidate images 40 are aligned with the enrollment image 20 on display 109, verification step 317 may be performed. During 25 verification, (step 317), the candidate person may be verified as a previously enrolled person and/or previously identified person in steps 303-305 by comparing the enrollment image 20 with an authentication image previously stored according to any techniques known in the art of image processing. 9 WO 2014/076622 PCT/IB2013/060050 In decision block 315 when one or more candidate images 40 are not yet aligned with the enrollment image 20 on display 109, alignment continues in step 313 by the candidate person. Reference is now made to Fig 5 which illustrates another method 501 of biometric 5 enrollment and authentication, according to a feature of the present invention. Biometric method 501 includes steps for enrollment and authentication of a person. In step 503, a body part of a person is captured using camera 105, to produce an enrollment image 20 of the body part, e.g. hand. In step 305 the enrollment image 20 is associated with the person. Step 507 begins an authentication stage, the enrollment image 20 is presented on a 10 display 109 with or without background 22. In step 509, a candidate person is instructed to present his/her hand for example, to a camera 105 and a time series of candidate images 40 are captured of the body part, e.g. hand of the candidate person. Candidate images 40 includes an image of a candidate body part of the candidate person presented with or without background image 42. 15 In step 511 the time series of candidate images are displayed on a display 109 during capturing (step 509) along with display of the enrollment image 20 (with or without background 22) previously captured in step 503. In step 511, the candidate images 40 are superimposed on the enrollment image 20. In step 513, the candidate person is able to align, position and reposition his/her hand in 20 front of camera 105 so that candidate images 40 are aligned with enrollment image 20 on display 109. In order to facilitate alignment, enrollment image 20 and/or candidate images 40 after being captured (step 503), may be processed with horizontal mirror inversion prior to display on display 109. 25 The basis for alignment in step 513 may be an image of a feature of the body part in candidate images 40 with a corresponding image of a feature in the enrollment image 20. The feature and the corresponding feature may be a ridge, a line, a scar, an area of differing skin pigmentation, a birth mark or a wrinkle on the body part or candidate body part respectively. The term "feature" as used herein in the context of alignment of a body 10 WO 2014/076622 PCT/IB2013/060050 part excludes "contour" or the outer edge the body part. Alignment in step 513 may be performed without aligning imaged contours of the body part. The image contours are not necessarily visible on display 109 for candidate images 40 and/ or enrollment image 20. Alignment step 513 of an image feature includes alignment in horizontal, vertical image 5 coordinates, angular orientation in image space, and real space distance to camera 105. In decision block 315 when one or more candidate images 40 are aligned with the enrollment image 20, authentication/non-authentication may be performed. Authentication of the candidate person may be verified as the previously enrolled person by comparing the enrollment image 20 with the authentication image. Authentication is verified by 10 associating (step 317) the candidate image as an authentication image of the candidate person. In decision block 315 when the time series of candidate images 40 are not fully aligned with the enrollment image 20 on display 109, alignment by the candidate person the candidate images 40 with the enrollment image 20 continues in step 513. 15 Reference is now made to Figure 6 which shows a method 801, according to a feature of the present invention. In step 807 a previously stored enrollment image is shown to a person for enrollment purposes. Reference is now also made to Figures 7 and 8 which show examples of previously stored enrollment images 65 and 75 respectively on display 109. Enrollment image 65 is an ellipse in which the person aligns the image of his/her 20 hand 33 within ellipse 65. A dotted line 37 is shown going through ellipse 65 may be used to align the image of the middle finger and wrist. Image 75 includes dashed lines to which the person aligns respective images of his/her wrist and fingers of hand 33. Referring back to Figure 6, in step 809, the person is instructed to present a body part, e.g. hand 33 to camera 105. In step 809, candidate image 40 of the person is captured 25 while the person attempts an alignment of candidate image 40 with the previously stored enrollment image displayed on display 109. With respect to image 65 and step 809, the person aligns images of each finger tip just within perimeter of ellipse 65 and the middle finger are aligned symmetrically around dotted line 37 going through ellipse 65. With respect to image 75 and step 809, the person tries to ensure that each finger of his/ her 11 WO 2014/076622 PCT/IB2013/060050 hand 33 is centered and in parallel with dotted lines of image 75. In decision 815, once the alignment in step 809 is achieved, verification is performed by verifying (step 317) candidate image 40 as an authentic image of the person. Otherwise alignment by the person continues with step 809. 5 When previously stored enrollment images 65/75 are used, the enrolling person may select one or more previously stored enrollment images 65/75 from a bank of for instance ten to one hundred stored images stored in memory 102 of mobile computer system 100, for instance with which to perform enrollment capture step 503. The selection of the previously stored enrollment image 65/75 provides for additional security and allows for 10 the person to select an enrollment image 65/75 suitable to her hand 33 in this example. Reference is made to Figures 9 and 10 which show a method 901 and an enrollment image 95 shown on display 109 respectively, according to a feature of the present invention. In step 903, enrollment image 95 of a body part of a person is captured with camera 105. The body part as shown in enrollment image 95 (Figure 10a) is the hand of the person. 15 Enrollment image 95 as captured in step 903 is then presented to the person on display 109 (step 905). On the enrollment image, the person is able to superimpose (step 907) symbols 101, e.g rectangle over features of the body part as presented on display 109. Alternatively in step 907, the person is given the option via a menu on display 109 to hand-write and position their own symbols to be superimposed over features of the body 20 part as presented on display 109. The handwriting of the person's own symbols to appear on display 109 is via a mouse, stylus operatively connected to computer system 100 or by finger touch of the person on display 109. The person's own symbols for example may be the selection of a free hand curve from the menu so that a contour of a chin or a hair line may be drawn. 25 Features of the hand as shown in Figure 10a may include ridges, lines, wrinkles, scars or the curved portion connecting fingers. Superimposition (step 907) may include the person relocating, resizing and / or rotating the symbols over the features. In decision 909, upon successfully superimposing symbols 101 on display 109 with features of the hand. The symbols 101 are stored along with respective positions, 12 WO 2014/076622 PCT/IB2013/060050 orientations, features of the hand and/ or symbols 101 in image space as the enrollment image 95 (step 911). If the symbols 101 on display 109 are not yet superimposed with features of the hand, superimposing continues with step 907. Referring back to Figure 9, authentication of a candidate person now continues with steps 5 913-921. In step 913, the enrollment image 95 stored in step 911 is presented on display 109. Mobile computer system 100 in step 913, instructs the candidate person to present a candidate body part to a camera. With the candidate body part being a hand for example, a time series of candidate images are captured of the hand with camera 105. During capturing step 913, the time series of candidate images are superimposed (step 915) with 10 enrollment image 95 and displayed on display 109. In step 917, at least one of the candidate images may be aligned with enrollment image 95 so that corresponding features in enrollment image 95 and one or more of candidate images are aligned. In aligning (step 917), the candidate may move her hand in front of camera 105 so that features, e.g. lines, wrinkles, etc used for identification known only by the enrolled person are aligned with 15 symbols 101. Alternatively in step 913 the candidate person is shown on display 109 multiple enrollment images 95 randomly selected in a consecutive manner with an unknown combination and timing. Additionally in step 913 a sequence of enrollment images 95 or an enrolled video is shown on display 109. The user's hand, for example, follows the 20 enrollment video or the sequence of enrollment images 95 as displayed on display 109 optionally in an unpredictable apparently random manner. The enrollment video may change speed or even freeze on display 109. The candidate person may follow and may superimpose his candidate body part, e.g. hand, with the sequence of enrollment images on display 109 in real time. 25 In decision 919, upon a successful alignment of the correct features with the symbols then verification 317 may be performed based for instance on the teachings of US patent 7,327,858. Otherwise, upon unsuccessful alignment or denial of authentication, the candidate person may instructed again to present her hand again in front of camera 105 with step 913. 13 WO 2014/076622 PCT/IB2013/060050 Reference is now made to Figure 10b which illustrates another example of the use of symbols 101 shown as software pegs 101 on display 109. Software pegs 101b may be positioned by the person so that software pegs 101 locate the curved connection between fingers, for example. Reference is made to Figure 11 which includes a flow diagram illustrating a method 1101, according to a feature of the present invention. In step 1103, a person is presented with multiple previously defined enrollment scales on display 109. Examples of previously defined enrollment scales shown on display 109 are shown in Figure 12 as scales or 5 graticules 1201a-1201c which have respective graticule lines 1203a-1203c. Referring back to method 1101, Figure 11 in step 1105, enrollment images of a body part of the person are captured with camera 105. In step 1107, enrollment image of the person is presented to the person on display 109. The person is able to select (step 1109) a graticule scale 1201a-1201c, while enrollment images are superimposed with the selected 10 graticule or scale 1201-1201c. Using graticule 1201b as the selected scale, the person may reposition or rotate selected graticule scale 1201b so that graticule line 1203b is positioned on line 1205b of the hand of the person as shown in Figure 14. Alternatively, the person rotates and positions their hand so that graticule line 1203b is positioned on line 1205b of the hand of the person as shown in Figure 15. Referring back to method 15 1101, Figure 11, in step 1111 an enrollment image 20 of the body part of the person is stored along with selected graticule scale 1201b and associated with the enrolled person. Authentication steps 1113-1123 are the steps which verify that a candidate person is or is not the person previously enrolled in steps 1101-1111. In step 1113, identification (ID) number of a candidate person may be received by mobile computer system 100. 20 The candidate person is instructed by system 100 to present a candidate body part to camera 105 so as to capture candidate images 40 of the candidate body part (step 1115). The captured candidate images are presented (step 1117) superimposed on the selected enrollment scale. 1201. In step 1119, the candidate aligns one of the candidate images with selected enrollment scale 1201. In decision block 1121, if there is an alignment 25 between candidate image 40 and selected scale 1201, then candidate image 40 may be 14 WO 2014/076622 PCT/IB2013/060050 verified or not verified as an authentic image of the candidate person as the previously enrolled person in step 1123. Otherwise in decision 1121 alignment by the candidate person may continue in step 1119 or after number of failed alignments, the candidate person is notified that an authentication of them was unsuccessful. 5 Further security features are involved in steps 1115 and 1117. In order to verify (step 317) candidate image 40 as an authentic image, candidate body part and features need to be identical to the body part and features used during enrollment. Moreover, selected scale 1201 has to be selected by the candidate person as that used during enrollment, to achieve verification that the candidate image is authentic. 10 During the enrollment processes shown above in Figures 13, 14 and 15, there may be no knowledge by mobile computer system 100 of the hand details (size etc) of a person to be enrolled. Therefore, in the enrollment stage, several graticule scales 1201 which have respective graticule lines 1203 may be displayed on display 109 and the person aligns their hand to each scale 1201. Hands can be aligned to scales 1201 where the whole hand 15 should be placed inside a rectangular box of scale 1201. Referring to Figure 13, when the person aligns their hand on display 109 to each of the scales 1201 during enrollment, as a result, the hand may be actually placed at different distances to camera 105 for each of the scales 1201. Mobile computer system 100 may select the best scale 1201 for the user where the features extracted from enrollment image 20 20 related to corresponding scale 1201, are the most robust and distinct. From this point on the best selected scale 1201 may be used for the person and an enrollment image saved and used during verification. Regarding the one of many verification process described above. The same enrollment mechanism may be used by any one of the verification process described above and a 25 candidate person will have to select the required scale 1201 and place their hand according to their choice of hand placement. In the event of one too many attempted verifications of the candidate person, the candidate person may alternatively align their hand exactly as in the enrollment phase without presenting any information regarding their identity. The number of attempted verifications of the candidate person may now be 15 WO 2014/076622 PCT/IB2013/060050 limited only to related enrollees in the same scale and rotation and the user may be identified. Using graticule 1201b as the selected scale, the person may reposition or rotate selected graticule scale 1201b so that graticule line 1203b is positioned on line 1205b of the hand 5 of the person as shown in Figure 14. Alternatively, the person rotates and positions their hand so that graticule line 1203b is positioned on line 1205b of the hand of the person as shown in Figure 15. The alternatives presented by figures 14 and 15 may apply to both the enrollment and verification processes or just to the enrollment process. In the verification process the scales 1201 may be predefined and unchangeable on display 109. 10 The process of verification may be repeated in a specific way. For example, during enrollment the user selects one of scales 120 1a, 1201b, 1201c and aligns her hand to scale 1201. If verification is successful, the user continues to a second verification step with a different scale and so on. For a more secure option, the user during enrollment may combine scales 1201 in sequential verification steps and hence create a password from the 15 ordered sequence of scales 1201. For example if there are 9 squares of the same size arranged like the iPhone" password screen. During verification the user may present the lines of one finger inside a specific square and then the lines of another finger at in a different specific square and so on. The combination of steps are saved in the enrollment phase and at each verification the user follows the same verification steps. Hence an 20 imposter cannot predict the combination of finger placements and selections of squares in the order performed during enrollment. The embodiments of the present invention may comprise a general-purpose or special purpose computer system including various computer hardware components, which are discussed in greater detail below. Embodiments within the scope of the present invention 25 also include computer-readable media for carrying or having computer-executable instructions, computer-readable instructions, or data structures stored thereon. Such computer-readable media may be any available media, which is accessible by a general purpose or special-purpose computer system. By way of example, and not limitation, such computer-readable media can comprise non-transitory physical storage media such as 30 RAM, ROM, EPROM, flash disk, CD-ROM or other optical disk storage, magnetic disk 16 WO 2014/076622 PCT/IB2013/060050 storage or other magnetic storage devices, or any other media which can be used to carry or store desired program code means in the form of computer-executable instructions, computer-readable instructions, or data structures and which may be accessed by a general-purpose or special-purpose computer system. 5 In this description and in the following claims, a " computer system" is defined as one or more software modules, one or more hardware modules, or combinations thereof, which work together to perform operations on electronic data. For example, the definition of computer system includes the hardware components of a personal computer, as well as software modules, such as the operating system of the personal computer. The physical 10 layout of the modules is not important. A computer system may include one or more computers coupled via a computer network. Likewise, a computer system may include a single physical device (such as a phone or Personal Digital Assistant "PDA") where internal modules (such as a memory and processor) work together to perform operations on electronic data. While any computer system may be mobile, the term "mobile computer 15 system" especially includes laptop computers, notebook computers, cellular telephones, smart phones, wireless telephones, personal digital assistants, portable computers with touch sensitive screens and the like. In this description and in the following claims, a "network" is defined as any architecture where two or more computer systems may exchange data. The term "network" may 20 include wide area network, Internet local area network, Intranet, wireless networks such as "Wi-fiTM", virtual private networks, mobile access network using access point name (APN) and Internet. Exchanged data may be in the form of electrical signals that are meaningful to the two or more computer systems. When data is transferred or provided over a network or another communications connection (either hardwired, wireless, or a 25 combination of hardwired or wireless) to a computer system or computer device, the connection is properly viewed as a transitory computer-readable medium. Thus, any such connection is properly termed a transitory computer-readable medium. Combinations of the above should also be included within the scope of transitory computer readable media and non-transitory computer-readable media. Computer-executable instructions comprise, 30 for example, instructions and data which cause a general-purpose computer system or special-purpose computer system to perform a certain function or group of functions. 17 WO 2014/076622 PCT/IB2013/060050 The term "server" as used herein refers to a computer system including a processor, data storage and a network adapter generally configured to provide a service over the computer network. A computer system which receives a service provided by the server may be known as a "client" computer system. Although selected embodiments of the present invention have been shown and described, it is to be understood the present invention is not limited to the described embodiments. Instead, it is to be appreciated that changes may be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and the equivalents thereof. 18

Claims (20)

1. A computerized biometric method comprising enrollment and authentication of a person, wherein the authentication includes: presenting on a display a previously stored enrollment image to the person; instructing a candidate person to present a body part to a camera while the person is holding the body part unsupported in free space with respect to the camera, wherein said body part is of the candidate person; using the camera, capturing a times series candidate image of the body part while enabling aligning by the candidate person said candidate image with said previously stored enrollment image; and upon said aligning, verifying said candidate image as an authentic image of said candidate person, thereby authenticating the candidate person as the person previously enrolled.
2. The computerized method of claim 1, wherein said previously stored enrollment image is generated independently from the person and the same enrollment image is displayed for said enrolling a plurality of previously unenrolled persons.
3. The computerized biometric method of claim 1, further comprising: prior to said authenticating, enrolling the person thereby selecting by the person said previously stored enrollment image from a plurality of previously stored enrollment images.
4. The computerized biometric method of claim 1, wherein said aligning includes spatial and angular alignment in image space and distance in real space between the hand and the display.
5. The computerized biometric method of claim 1, wherein the enrollment includes: 19 WO 2014/076622 PCT/IB2013/060050 while a person is holding a body part unsupported in free space with respect to the camera, using the camera thereby first capturing said enrollment image of the body part and background thereof; wherein the authentication includes: said capturing said time series of said candidate images of said candidate body part and background thereof; during said capturing, presenting on a display said time series of candidate images superimposed on said enrollment image with the respective backgrounds thereof;
6. The computerized biometric method of claim 1, wherein said body part is a body part or portion thereof selected from a group consisting: at least a portion of a face, at least a portion of a hand, at least a portion of an ear, and at least a portion of an eye
7. The computerized biometric method of claim 1, wherein said aligning is performed by instructing the candidate person to align a feature of the body part in said candidate images with a corresponding feature in said enrollment image.
8. The computerized biometric method of claim 7, wherein said feature and said corresponding feature are selected from a group consisting: a line, a ridge, a beauty mark, a scar, a mole, an area of differing skin pigmentation, a birth mark and a wrinkle.
9. The computerized biometric method of claim 1, further comprising: performing said verifying by comparing said enrollment image with said authentication image.
10. The computerized biometric method of claim 1, wherein said aligning includes alignment in horizontal, vertical image coordinates, angular orientation in image space, and real space distance to camera.
11. The computerized biometric method of claim 1, further comprising: prior to said presenting said previously stored enrollment image, processing said enrollment image by performing horizontal mirror inversion of said enrollment images. 20 WO 2014/076622 PCT/IB2013/060050
12. The computerized biometric method of claim 1, further comprising: instructing the candidate person to align a feature of the body part in said candidate images with a corresponding feature in said enrollment image; and upon the candidate person said aligning said feature of the body part in said candidate image with said corresponding feature in said enrollment image, said verifying at least one of said candidate images as an authentic image of said candidate person, thereby said authenticating the candidate person as the person previously enrolled by comparing said feature with the corresponding feature.
13. The computerized biometric method of claim 1, further comprising: capturing a pre-enrollment image of a body part, while the person is holding the body part unsupported in free space with respect to the camera, wherein said body part is of the person; presenting said pre-enrollment image to the person on a display; upon presenting said pre-enrollment image, enabling the person to superimpose symbols with imaged features of the body part as presented on said display; upon superimposing said symbols on said display with imaged features of the body part, storing as an enrollment image said symbols and respective positions and orientations in image space in said pre-enrollment image; wherein the authenticating includes: presenting on the display to a candidate person said enrollment image.
14. The computerized biometric method of claim 13, further comprising: prior to said superimposing at least one of the steps of: relocating said symbols; resizing said symbols; and rotating said symbols. 21 WO 2014/076622 PCT/IB2013/060050
15. The computerized biometric method of claim 13, wherein said presenting on said display to said candidate person said enrollment image includes presenting on said display said stored symbols and at least a portion of an image of said body part.
16. The computerized biometric method of claim 13, wherein said presenting on said display to said candidate person said enrollment image includes presenting said stored symbols without any portion of an image of said body part.
17. The computerized biometric method of claim 1, wherein the enrollment includes: presenting on a display to the person, a plurality of previously defined enrollment scales; enabling selecting at least one of the scales presented on said display to produce thereby a selected enrollment scale while enabling superimposing and repositioning of said at least one of said enrollment images with the selected scale; storing said selected scale as at least one enrollment image; wherein the authentication includes: said presenting on a display said time series of said candidate images superimposed on said selected enrollment scale; enabling aligning by said candidate person of at least one of said candidate images with said selected enrollment scale.
18. The computerized biometric method of claim 17, wherein during said authentication, said presenting said enrollment scale to the person includes said presenting a plurality of enrollment scales, the method further comprising: selecting by the candidate person the selected enrollment scale.
19. A mobile computer system enabled to perform the computerized biometric method of claim 1, wherein the camera and the display are parts of the mobile computer system.
20. A computer readable medium encoded with processing instructions for causing a processor to execute the method of claim 1. 22
AU2013346387A 2012-11-14 2013-11-11 Biometric methods and systems for enrollment and authentication Abandoned AU2013346387A1 (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201261726014P 2012-11-14 2012-11-14
US61/726,014 2012-11-14
PCT/IB2013/060050 WO2014076622A1 (en) 2012-11-14 2013-11-11 Biometric methods and systems for enrollment and authentication

Publications (1)

Publication Number Publication Date
AU2013346387A1 true AU2013346387A1 (en) 2015-07-02

Family

ID=50730659

Family Applications (1)

Application Number Title Priority Date Filing Date
AU2013346387A Abandoned AU2013346387A1 (en) 2012-11-14 2013-11-11 Biometric methods and systems for enrollment and authentication

Country Status (9)

Country Link
US (2) US9613282B2 (en)
JP (2) JP6440624B2 (en)
KR (1) KR101923263B1 (en)
CN (1) CN105051752B (en)
AU (1) AU2013346387A1 (en)
GB (1) GB2525516B (en)
IL (1) IL238749A (en)
IN (1) IN2015DN03830A (en)
WO (1) WO2014076622A1 (en)

Families Citing this family (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11823499B2 (en) * 2012-11-14 2023-11-21 Golan Weiss Methods and systems for enrollment and authentication
CN106576093B (en) * 2014-05-13 2020-02-25 戈兰·魏斯 Registration and authentication methods, registration and authentication systems
US20160078058A1 (en) * 2014-09-11 2016-03-17 Ching-Kay Chow File system and methods for comparing multiple instances
US9815381B2 (en) * 2015-02-27 2017-11-14 Qualcomm Incorporated Systems, methods, and apparatus for partial electronics integration in vehicle pads for wireless power transfer applications
US20160275280A1 (en) * 2015-03-19 2016-09-22 Boris Gill Remote authentication of identity
EP3278260B1 (en) * 2015-03-28 2021-03-17 Intel Corporation Gesture matching mechanism
US10547610B1 (en) * 2015-03-31 2020-01-28 EMC IP Holding Company LLC Age adapted biometric authentication
KR102329821B1 (en) * 2015-06-04 2021-11-23 삼성전자주식회사 Electronic Device for Performing Personal Authentication and Method Thereof
US20170366026A1 (en) 2015-06-05 2017-12-21 Emory Todd Apparatus, method, and system for securely charging mobile devices
US9774200B2 (en) * 2015-06-05 2017-09-26 Emory Todd Apparatus, method, and system for securely charging mobile devices
US10339178B2 (en) * 2015-06-30 2019-07-02 Samsung Electronics Co., Ltd. Fingerprint recognition method and apparatus
CN106503534B (en) * 2015-09-08 2020-05-12 腾讯科技(深圳)有限公司 Information processing method and terminal
CN113177437B (en) * 2017-06-13 2024-09-27 阿里巴巴集团控股有限公司 Face recognition method and device
CN109583261A (en) * 2017-09-28 2019-04-05 丽宝大数据股份有限公司 Body information analysis device and auxiliary eyebrow shape comparison method thereof
TWI678661B (en) * 2018-08-31 2019-12-01 中華電信股份有限公司 Palm print recognition apparatus and method having data extension
JP6631736B1 (en) * 2019-03-07 2020-01-15 富士通クライアントコンピューティング株式会社 Biometric authentication device, biometric authentication system and program
JP6631737B1 (en) * 2019-03-07 2020-01-15 富士通クライアントコンピューティング株式会社 Biometric authentication device and program
CH716052A1 (en) * 2019-04-10 2020-10-15 Smart Secure Id Ag Biometric authentication device and biometric authentication method for authenticating a person with reduced computing complexity.
JP7388544B2 (en) * 2020-04-21 2023-11-29 日本電気株式会社 Verification device, verification method, and verification program
JP2023077476A (en) * 2021-11-25 2023-06-06 株式会社アシックス image creation device
WO2025072378A1 (en) * 2023-09-26 2025-04-03 Groupclock Inc. Dynamic time recording display system for multiple users
WO2025105680A1 (en) * 2023-11-14 2025-05-22 삼성전자 주식회사 Palm print image processing method and electronic device supporting same

Family Cites Families (33)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7190817B1 (en) 1999-09-10 2007-03-13 Ultra-Scan Corporation Mobile fingerprint scanner and docking station
JP2002092616A (en) * 2000-09-20 2002-03-29 Hitachi Ltd Personal authentication device
JP2003317100A (en) * 2002-02-22 2003-11-07 Matsushita Electric Ind Co Ltd Information terminal device, authentication system, and registration / authentication method
US8190239B2 (en) 2002-09-03 2012-05-29 Fujitsu Limited Individual identification device
JP3770241B2 (en) 2003-03-04 2006-04-26 株式会社日立製作所 Personal authentication device and personal authentication method
AU2003902422A0 (en) 2003-05-19 2003-06-05 Intellirad Solutions Pty. Ltd Access security system
US20080148059A1 (en) 2003-07-25 2008-06-19 Shapiro Michael F Universal, Biometric, Self-Authenticating Identity Computer Having Multiple Communication Ports
JP4692174B2 (en) 2005-09-14 2011-06-01 株式会社日立製作所 Personal authentication device and door opening / closing system
JP4704185B2 (en) * 2005-10-27 2011-06-15 富士通株式会社 Biometric authentication system and biometric authentication method
FR2897966B1 (en) * 2006-02-24 2008-05-16 Sagem Defense Securite CONTACTLESS BIODETECTOR
US8199189B2 (en) 2006-04-07 2012-06-12 Novarix Ltd. Vein navigation device
KR101349892B1 (en) 2006-07-19 2014-01-13 루미다임 인크. Multibiometric multispectral imager
US7995808B2 (en) * 2006-07-19 2011-08-09 Lumidigm, Inc. Contactless multispectral biometric capture
WO2008042879A1 (en) 2006-10-02 2008-04-10 Global Rainmakers, Inc. Fraud resistant biometric financial transaction system and method
JP4996904B2 (en) * 2006-10-04 2012-08-08 株式会社日立製作所 Biometric authentication system, registration terminal, authentication terminal, and authentication server
JP2008134862A (en) * 2006-11-29 2008-06-12 Hitachi Omron Terminal Solutions Corp Vein authentication device
KR100827391B1 (en) 2006-12-26 2008-05-07 연세대학교 산학협력단 Non-contact fingerprint image acquisition device using mirror
JP4640416B2 (en) * 2008-01-28 2011-03-02 日本電気株式会社 Face authentication apparatus, system, method and program
CN101281600B (en) 2008-06-03 2010-12-01 北京大学 A palmprint feature acquisition method and corresponding identification method based on palmprint
KR20110063679A (en) 2008-09-22 2011-06-13 크란디 키란 풀루루 Vein pattern recognition based biometric authentication system and method
JP5287868B2 (en) 2008-12-17 2013-09-11 富士通株式会社 Biometric authentication device and biometric authentication method
JP2010146158A (en) * 2008-12-17 2010-07-01 Fujitsu Ltd Biometric authentication device, biometric authentication method, and computer program
US20100228692A1 (en) 2009-03-03 2010-09-09 Honeywell International Inc. System and method for multi-modal biometrics
JP5286297B2 (en) 2010-01-26 2013-09-11 株式会社日立製作所 Biometric authentication system
EP2541492A1 (en) * 2010-02-24 2013-01-02 Fujitsu Frontech Limited Authentication device, authentication program, and authentication method
JP5814920B2 (en) 2010-07-22 2015-11-17 富士通株式会社 Vein imaging device
TWI434220B (en) 2010-09-03 2014-04-11 Univ Nat Taiwan Science Tech A method for recognizing the identity of user by palm vein biometric
CA2851225A1 (en) 2010-10-08 2012-04-12 Advanced Optical Systems, Inc. Contactless fingerprint acquisition and processing
US8548206B2 (en) 2011-01-20 2013-10-01 Daon Holdings Limited Methods and systems for capturing biometric data
WO2013018333A1 (en) 2011-07-29 2013-02-07 パナソニック株式会社 Apparatus for controlling vehicle opening/closing element
TWI539386B (en) 2011-11-21 2016-06-21 Pixart Imaging Inc The use of a variety of physiological information mixed identification of the identity of the system and methods
US20130167226A1 (en) 2011-12-27 2013-06-27 Woodrow LIN Handheld Mobile Device with USB Hard Drive and Optional Biometric Scanner, and Systems Including the Same
CN102622596B (en) * 2012-02-20 2016-07-20 哈尔滨工业大学 Interactive localization method towards living things feature recognition

Also Published As

Publication number Publication date
CN105051752A (en) 2015-11-11
US20170076165A1 (en) 2017-03-16
GB201510277D0 (en) 2015-07-29
WO2014076622A1 (en) 2014-05-22
KR20150086295A (en) 2015-07-27
IN2015DN03830A (en) 2015-10-02
GB2525516B (en) 2020-04-22
US9613282B2 (en) 2017-04-04
KR101923263B1 (en) 2018-11-28
US10339403B2 (en) 2019-07-02
US20160292524A1 (en) 2016-10-06
JP2019050024A (en) 2019-03-28
IL238749A0 (en) 2015-06-30
JP6440624B2 (en) 2018-12-19
JP2015534199A (en) 2015-11-26
IL238749A (en) 2016-05-31
CN105051752B (en) 2018-12-14
GB2525516A (en) 2015-10-28

Similar Documents

Publication Publication Date Title
US9613282B2 (en) Biometric methods and systems for enrollment and authentication
CN111984956B (en) Facial recognition authentication system including path parameters
JP6820062B2 (en) Identity authentication methods and devices, terminals and servers
EP3196801B1 (en) Face recognition method, device and computer readable storage medium
JP2017533516A (en) Fingerprint authentication using stitching and cutting
KR20240110558A (en) Facial recognition and/or authentication system with monitored and/or controlled camera rotation
CN110073354A (en) Electronic devices for biometric authentication of users
JPWO2020152917A1 (en) Face recognition devices, face recognition methods, programs, and recording media
EP3752937B1 (en) Enrollment scheme for an electronic device
US11823499B2 (en) Methods and systems for enrollment and authentication
KR102376749B1 (en) Methods and systems of enrollment and authentication
US20240022419A1 (en) Methods and systems for enrollment and authentication
WO2022084444A1 (en) Methods, systems and computer program products, for use in biometric authentication
Kopytsia et al. ANALYSIS OF BIOMETRIC TECHNOLOGY METHODS
KR101786810B1 (en) System and method to generate feature data using dual camera
JP2022168560A (en) Authentication device and authentication system
CN110969438A (en) A face recognition payment system and its equipment

Legal Events

Date Code Title Description
MK4 Application lapsed section 142(2)(d) - no continuation fee paid for the application